Odtnhj

I've got a scatterplot I've created in Bokeh, and I'd very much like to be able to change what tooltips display on the Hovertool depending on your selection in a dropdown menu. If "Stat Set 1" is selected, I want to show stats 1&2. If "Stat Set 2" is selected, I want to show stats 3,4,5.

I'd like the end result to be a html file, so using CustomJS for the call back is probably a must. Here is where I have managed to get with the code. The issue is likely with the callback, as I'm not at all sure how to mess with tooltips via a callback.

import pandas as pd
from bokeh.plotting import figure, show
from bokeh.models import CustomJS, ColumnDataSource, HoverTool, ColumnDataSource, Select
from bokeh.layouts import row

#Create a dataframe with x and y coordinates and 4 different statistics
df = pd.DataFrame(
 'x':[1,2,3],
 'y':[1,2,3],
 'stat1':[1,2,3],
 'stat2':[4,5,6],
 'stat3':[7,8,9],
 'stat4':[10,11,12],
 'stat5':[13,14,15]
)

#Create Bokeh's ColumnDataSource
source=ColumnDataSource(data=df)

#Create the different options for the Hovertool tooltips
option1=[('Stat1','@stat1'),
 ('Stat2','@stat2')]

option2=[('Stat3','@stat3'),
 ('Stat4','@stat4'),
 ('Stat5','@stat5')]

#Set the default option for the Hovertool tooltips
hover=HoverTool(tooltips=option1)

#Create the figure
plot = figure(tools=[hover])
plot.circle('x', 'y', source=source)

#Create the callback that will update the tooltips
callback = CustomJS (args=dict(tt=plot.hover), code="""
 if (cb_obj.value='Stat Set 1') 
 tt.tooltips=option1
 else 
 tt.tooltips=option2
 
 """)

#Create a dropdown menu that allows you to change which set of stats will populate the tooltips
stat_select=Select(options=['Stat Set 1', 'Stat Set 2'],
 value='Stat Set 1',
 title='What stats set do you want to see when you hover?', callback=callback)

show(row(stat_select,plot))

I found someone with the answer over on the Bokeh Gmail group.